This paper proposes an economic model predictive control (EMPC) design for a Direct Contact Membrane Distillation powered by solar collector system which aims at enhancing its economical performances. A differential algebraic equations-based is used the of EMPC control. Moreover, nonlinear observer developed estimation unmeasured state. neural network proposed to predict unknown irradiance futu...

In the context of global climate crisis and growing world population there is urgent need for viable technical solutions to harvest energy from alternative, renewable continuous sources recover pure water at affordable costs. Herein, we capitalize on study direct contact membrane distillation technology treating hypersaline simulating reverse electrodialysis outgoing mixed streams, in logic val...

Predicting the performance of a full-scale direct contact membrane distillation (DCMD) module based on experimental lab-scale results is rather difficult, since DCMD dependent many different process parameters. Hence, there need for methodology to perform system up-scaling results. In this study, we devise an approach scale up systems by using Buckingham's Pi theorem group parameters into eight...